AI Agent Infrastructure Tools
Agent infrastructure tools help teams build AI systems that can use tools, browse, remember context, evaluate outputs, and run workflows. They require stronger engineering controls than simple chat assistants.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
How to choose in this category
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Check sandboxing, approvals, audit trails, and failure modes.
Review supported models and integration surfaces.
Related category guides
Search all 604 toolsAgent Infrastructure tools
Compare official links, pricing notes, business fit, and alternatives for each tool.
Orgo
Free plan + paid plans
Persistent cloud desktops for AI agents, with snapshots and one-click cloning
Best for
Startups building computer-use agents on Claude/OpenAI CUA, Agencies giving each client a forkable workspace
Browser Use
Free plan + paid plans
Cloud browser plus agent harness that lets AI sign up, log in, and act on any website
Best for
Agent startups doing self-registration and authenticated workflows, Enterprise RPA teams replacing UiPath on web-only tasks
Browserbase
Free plan + paid plans
Managed headless browsers, search, and fetch APIs for AI agents at scale
Best for
Series A/B agent companies needing battle-tested browser infra, Enterprises with HIPAA, SOC2, or SSO requirements
Hyperbrowser
Published pricing
Cloud browser infrastructure for AI agents
Best for
Devs comparison-shopping against Browserbase and Steel, Startups wanting a cheaper cloud-browser option
Steel
Free plan + paid plans
Open-source cloud browser API with self-host option for AI agents and scrapers
Best for
Indie devs and scrappy startups on tight infra budgets, Teams that insist on an open-source escape hatch
Anchor Browser
Free plan + paid plans
Cloud browser agents tuned for deterministic, low-token automation with built-in auth and VPN
Best for
SaaS PMs building competitive integrations fast, BPO and services firms cutting manual ops cost
Scrapybara
Free plan + paid plans
Virtual Ubuntu and Windows desktops for OpenAI CUA and Claude computer-use agents
Best for
Devs building on OpenAI's Computer Use Agent, Anthropic computer-use early adopters
E2B
Free plan + paid plans
Secure microVM sandboxes for AI agents to run code
Best for
Devs shipping ChatGPT-style code interpreter features, AI startups building autonomous coding agents
Composio
Free plan + paid plans
Authenticated tool-calling for agents across 1,000+ apps
Best for
Agent framework users (LangChain, CrewAI, custom) wanting plug-in tools, Startups shipping multi-app agent features fast
Smithery
Published pricing
Marketplace and managed hosting for MCP servers
Best for
MCP-first developers and indie agent builders, Teams publishing MCP servers for others to consume
Arcade
Free plan + paid plans
Per-user OAuth and MCP runtime for production agents
Best for
B2B SaaS teams adding agent features with end-user auth, Platform teams standardizing OAuth for many internal agents
Mastra
Free plan + paid plans
TypeScript-first agent framework with hosted observability
Best for
TypeScript developers building production agents, Next.js/Express teams adding agent features to existing apps
Letta
Free plan + paid plans
Stateful agents with memory you own and port across models
Best for
Developers wanting a memory-first alternative to Claude Code/Cursor, AI researchers experimenting with stateful agents
Mem0
Free plan + paid plans
Drop-in memory API that shrinks prompts and remembers users
Best for
Devs adding user memory to a chatbot without building a RAG stack, Healthcare/education/CS teams needing audited memory storage
Zep
Free plan + paid plans
Temporal knowledge graph for agent memory and context
Best for
Engineering leaders shipping personalization without a dedicated ML team, Devs frustrated with vector-only RAG for stateful agents
Cognee
Free plan + paid plans
Knowledge graph memory layer for AI agents, with 28+ source connectors built in
Best for
Solo developers prototyping agents with MCP, Platform teams unifying scattered data sources for agents
Supermemory
Free plan + paid plans
Hosted memory API for AI agents, with native connectors and rich-content ingestion
Best for
Indie devs and small teams building consumer AI products, Startups that need user-data connectors fast
Pinecone
Free plan + paid plans
Serverless managed vector database, the default pick for production RAG at scale
Best for
Engineering teams that want managed vector search with no infra work, Companies with billion-scale embedding workloads
Qdrant
Free plan + paid plans
Open-source Rust vector DB with hybrid search and the strongest filtering story
Best for
Teams that prefer open-source with optional managed, Workloads with heavy metadata filtering
Weaviate
Free plan + paid plans
Vector database with built-in agent and query primitives, cloud or self-hosted
Best for
AI engineers who want a batteries-included vector platform, Teams using GraphQL elsewhere in the stack
Chroma
Free plan + paid plans
Object-storage-native vector DB, the cheapest at-rest economics in the category
Best for
Developers already using open-source Chroma in production, Cost-sensitive teams with large but cold vector datasets
Milvus
Free plan + paid plans
Open-source vector DB built for billion-scale workloads, with GPU index support
Best for
Platform teams operating large-scale ML infrastructure, Companies with on-prem or air-gapped requirements
LanceDB
Contact sales
Multimodal lakehouse for AI training data, replaces five tools with one columnar table
Best for
ML platform teams at AI-first companies, Foundation model and generative AI labs
Tavily
Free plan + paid plans
Search and extraction API that grounds AI agents in live web data with safety filters.
Best for
LLM app developers adding live web context to RAG, Enterprise AI teams needing injection-filtered search
Exa
Usage-based
Agent-native search API with deep-research mode and token-efficient content highlights.
Best for
Teams building autonomous research agents, B2B sales platforms needing people and company enrichment
Firecrawl
Free plan + paid plans
Scrape, crawl, and interact with any site, returning LLM-ready markdown and JSON.
Best for
AI developers building RAG pipelines with web sources, Sales and growth teams running enrichment workflows
AgentOps
Contact sales
Trace, debug, and deploy AI agents with session replay and cross-framework cost tracking.
Best for
Engineering teams running CrewAI, Autogen, or LangChain agents, Enterprises needing on-prem agent observability
Galileo
Free plan + paid plans
Eval-to-guardrail platform with low-cost Luna judge models for production AI monitoring.
Best for
Enterprise AI teams deploying agents at production scale, Companies needing runtime guardrails, not just batch evals
Traceloop
Free plan + paid plans
OpenTelemetry-native LLM monitoring and evals, one line of code to instrument.
Best for
Engineering teams already using OpenTelemetry, Open-source-first companies wary of proprietary agents
Patronus AI
Usage-based
Simulation environments and evaluator APIs for training and testing frontier AI agents.
Best for
AI labs training or fine-tuning frontier models, Financial-services AI teams needing domain benchmarks
Giskard
Free plan + paid plans
Automated red-teaming and hallucination testing for LLM agents, with dashboards for non-coders.
Best for
Enterprise AI teams in regulated industries, Security teams red-teaming LLM applications
Ragas
Contact sales
Open-source eval framework purpose-built for RAG pipelines
Best for
ML engineers building production RAG on LangChain/LlamaIndex, Applied research teams iterating on retrieval quality
DeepEval
Free plan + paid plans
Pytest-native LLM evals with 50+ metrics, runs locally in your editor
Best for
Backend/ML engineers shipping LLM features behind tests, Teams standardizing on pytest for AI quality gates
Confident AI
Free plan + paid plans
Hosted eval + observability + red-teaming layer on top of DeepEval
Best for
Regulated enterprises needing SOC 2/HIPAA eval governance, Platform teams enforcing one eval standard org-wide
Trigger.dev
Free plan + paid plans
Durable TypeScript background jobs and AI agents with full runtime control
Best for
TypeScript/Next.js teams building AI agents, Startups avoiding self-managed worker fleets
Inngest
Usage-based
Multi-language durable workflows and AI agents that run on your existing infra
Best for
Polyglot engineering teams (Python + TS + Go), High-volume event-driven products needing >100k/sec
Common questions about Agent Infrastructure
What are Agent Infrastructure tools used for?
Agent infrastructure tools help teams build AI systems that can use tools, browse, remember context, evaluate outputs, and run workflows. They require stronger engineering controls than simple chat assistants.
Which Agent Infrastructure tools should a business compare first?
Start by reviewing Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, then compare pricing, implementation effort, integrations, and workflow ownership against your actual use case.
How should buyers choose between Agent Infrastructure vendors?
Use criteria such as Compare tool-calling, memory, browser automation, evals, observability, and deployment controls; Check sandboxing, approvals, audit trails, and failure modes; Review supported models and integration surfaces.